KwangSoo Yang

575 total citations
35 papers, 287 citations indexed

About

KwangSoo Yang is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Ocean Engineering. According to data from OpenAlex, KwangSoo Yang has authored 35 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Signal Processing, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Ocean Engineering. Recurrent topics in KwangSoo Yang's work include Data Management and Algorithms (15 papers), Human-Automation Interaction and Safety (5 papers) and Older Adults Driving Studies (5 papers). KwangSoo Yang is often cited by papers focused on Data Management and Algorithms (15 papers), Human-Automation Interaction and Safety (5 papers) and Older Adults Driving Studies (5 papers). KwangSoo Yang collaborates with scholars based in United States, South Korea and Saudi Arabia. KwangSoo Yang's co-authors include Venkata M. V. Gunturi, Shashi Shekhar, Michael R. Evans, Shashi Shekhar, Dev Oliver, Ruth M. Tappen, Jinwoo Jang, Borko Furht, Betsy George and Sangho Kim and has published in prestigious journals such as IEEE Access, IEEE Transactions on Knowledge and Data Engineering and Environmental Modelling & Software.

In The Last Decade

KwangSoo Yang

31 papers receiving 275 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
KwangSoo Yang United States	8	75	71	65	41	40	35	287
Raymond Low Singapore	12	65 0.9×	52 0.7×	44 0.7×	51 1.2×	33 0.8×	15	490
Amílcar Soares Canada	14	120 1.6×	152 2.1×	178 2.7×	39 1.0×	80 2.0×	43	450
Dragan Stojanović Serbia	11	79 1.1×	164 2.3×	37 0.6×	72 1.8×	62 1.6×	55	473
Kye-Hyun Kim South Korea	9	35 0.5×	56 0.8×	25 0.4×	84 2.0×	54 1.4×	29	365
Stefan Schroedl United States	7	21 0.3×	74 1.0×	137 2.1×	51 1.2×	50 1.3×	10	350
Ge Cui China	10	148 2.0×	64 0.9×	21 0.3×	27 0.7×	28 0.7×	13	282
Peter Widhalm Austria	10	465 6.2×	61 0.9×	38 0.6×	61 1.5×	30 0.8×	32	590
Karl Rehrl Austria	10	157 2.1×	71 1.0×	25 0.4×	45 1.1×	17 0.4×	27	335
Massimiliano Nolich Italy	9	56 0.7×	66 0.9×	43 0.7×	47 1.1×	32 0.8×	43	360
Qingnian Zhang China	13	51 0.7×	53 0.7×	83 1.3×	148 3.6×	43 1.1×	61	452

Countries citing papers authored by KwangSoo Yang

Since Specialization

Citations

This map shows the geographic impact of KwangSoo Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by KwangSoo Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites KwangSoo Yang more than expected).

Fields of papers citing papers by KwangSoo Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by KwangSoo Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by KwangSoo Yang. The network helps show where KwangSoo Yang may publish in the future.

Co-authorship network of co-authors of KwangSoo Yang

This figure shows the co-authorship network connecting the top 25 collaborators of KwangSoo Yang. A scholar is included among the top collaborators of KwangSoo Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with KwangSoo Yang. KwangSoo Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yang, KwangSoo, Jinwoo Jang, Borko Furht, et al.. (2025). Quad-Tree-Based Driver Classification Using Deep Learning for Mild Cognitive Impairment Detection. IEEE Access. 13. 63129–63142. 1 indexed citations

Yang, KwangSoo, et al.. (2025). Contextual Sequence-Based User Behavior Anomaly Detection. IEEE Access. 13. 35539–35554.

Yang, KwangSoo, Ruth M. Tappen, Jinwoo Jang, et al.. (2024). Spatial Deep Learning Approach to Older Driver Classification. IEEE Access. 12. 1–1. 2 indexed citations

Huang, Shihong, et al.. (2024). Towards More Effective Insider Threat Countermeasures: A Survey of Approaches for Addressing Challenges and Limitations. 1–8. 1 indexed citations

Tappen, Ruth M., Mónica Rosselli, David Newman, et al.. (2024). Cultural Effects on the Performance of Older Haitian Immigrants on Timed Cognitive Tests. Medical Research Archives. 12(11). 1 indexed citations

Furht, Borko, Jinwoo Jang, KwangSoo Yang, et al.. (2024). Enhancing road safety: In-vehicle sensor analysis of cognitive impairment in older drivers. Multimedia Tools and Applications. 84(17). 18711–18732. 6 indexed citations

Tappen, Ruth M., Jinwoo Jang, KwangSoo Yang, et al.. (2023). IN-VEHICLE SENSORS TO DETECT CHANGES IN DRIVING BEHAVIORS WITH EMERGENCE OF MCI. Innovation in Aging. 7(Supplement_1). 645–645. 1 indexed citations

Tappen, Ruth M., David Newman, Mónica Rosselli, et al.. (2023). Study protocol for “In-vehicle sensors to detect changes in cognition of older drivers”. BMC Geriatrics. 23(1). 854–854. 5 indexed citations

Yang, KwangSoo, et al.. (2023). Abnormal Driving Detection Using GPS Data. PubMed. 2023. 1–6. 2 indexed citations

10.

Jang, Jinwoo, et al.. (2022). Non-intrusive Drowsiness Detection Techniques and Their Application in Detecting Early Dementia in Older Drivers. Lecture notes in networks and systems. 560(V2). 776–796. 13 indexed citations

11.

Jang, Jinwoo, KwangSoo Yang, Mónica Rosselli, et al.. (2022). Methods and Tools for Monitoring Driver's Behavior. PubMed. 2022. 1269–1273. 19 indexed citations

12.

Yang, KwangSoo, et al.. (2021). Conflict-Free Evacuation Route Planning. GeoInformatica. 25(4). 655–678. 3 indexed citations

13.

Her, Younggu, KwangSoo Yang, & Jung‐Hun Song. (2021). Parallelization of a two-dimensional time-area watershed routing. Environmental Modelling & Software. 146. 105222–105222. 2 indexed citations

14.

Yang, KwangSoo, et al.. (2021). Multiple Resource Network Voronoi Diagram. IEEE Transactions on Knowledge and Data Engineering. 1–1. 1 indexed citations

15.

Her, Younggu, et al.. (2020). Node-attributed Spatial Graph Partitioning. 58–67. 4 indexed citations

16.

Yang, KwangSoo & Shashi Shekhar. (2017). Spatial Network Big Databases. 4 indexed citations

17.

Yang, KwangSoo & Shashi Shekhar. (2017). Spatial Network Big Databases: Queries and Storage Methods. CERN Document Server (European Organization for Nuclear Research). 2 indexed citations

18.

Gunturi, Venkata M. V., Shashi Shekhar, & KwangSoo Yang. (2015). A Critical-Time-Point Approach to All-Departure-Time Lagrangian Shortest Paths. IEEE Transactions on Knowledge and Data Engineering. 27(10). 2591–2603. 4 indexed citations

19.

Yang, KwangSoo, Michael R. Evans, Venkata M. V. Gunturi, James M. Kang, & Shashi Shekhar. (2013). Lagrangian Approaches to Storage of Spatio-Temporal Network Datasets. IEEE Transactions on Knowledge and Data Engineering. 26(9). 2222–2236.

20.

Evans, Michael R., KwangSoo Yang, James M. Kang, & Shashi Shekhar. (2010). A Lagrangian approach for storage of spatio-temporal network datasets. 212–221. 6 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact